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Prognosis refers to the production of bounded estimates for the remaining useful life (RUL) of a component or system. Robust prognosis within well defined uncertainty bounds promises the ability to lower system sustainment costs and improve maintenance decision making. In ideal scenarios, the degradation of many assets is predictable from measurements taken during operation. These measurements, accompanied...
In this paper, we present a novel on-line probabilistic generative model that simultaneously deals with both the clustering and the tracking of an unknown number of moving objects. The proposed model assumes that i) time series data are composed of a time-varying number of objects and that ii) each object is governed by a mixture of an unknown number of different patterns of dynamics. The problem...
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